PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-08 10:22:09.200350+00:00 (UTC)
In US/Central Time, this is 2024-08-08 05:22:09.200350-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/f3193e6f0cecf80bfc3ccba31b7587f9db847b550d58f26debe05104cf460f41.png
We are just generating a random time serie here.
../_images/951631a5da75fc69b5ad487f6660885c207b7d5850597c1f09ef179c51e97121.png
../_images/38520869755ea22115dd9ca7150c081a91df246ceafb9fe84cc159ebcdb154ea.png